Must-read papers of the week ▪️ JEPA-Anything ▪️ Modality-Autoregressive World-Action Models ▪️ In-Context Robot Learning with VLM Agents ▪️…

Must-read papers of the week ▪️ JEPA-Anything ▪️ Modality-Autoregressive World-Action Models ▪️ In-Context Robot Learning with VLM Agents ▪️ Dream-RSI: Recursive Self-Improvement through Evolving Worlds ▪️ ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement ▪️ DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression ▪️ SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness ▪️ Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents ▪️ AliceAI-Foundation-80B-A3B-Base (model release) ▪️ Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation ▪️ ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents ▪️ World Modeling in Transformers ▪️ When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models Explore these to keep up with main AI trends. Here’s also the full list of stunning papers + links and our weekly AI news digest: https://www.turingpost.com/p/tracktwo-ai

Related

• JEPA-WAM: Connecting Generated Visual Instructions to World Action Models through JEPA Latent Representations
• Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization
• Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models
• GlanceWAM: Sparse Test-Time Imagination for World-Action Models
• WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving

Source: Yann LeCun (X) | 2026-09-22